Copertina

A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Ruisong, Zou, Haijun, Zhou, Li, Sun, Chumin, Wen, Zaiwen
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Optimization and Control 90C27, 68T20
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning
di: Pan, Yicheng, et al.
Pubblicazione: (2026)

LMask: Learn to Solve Constrained Routing Problems with Lazy Masking
di: Li, Tianyou, et al.
Pubblicazione: (2025)

Fast Neighborhood Search Heuristics for the Colored Bin Packing Problem
di: da Silva, Renan F. F., et al.
Pubblicazione: (2023)

Large Language Model for Discrete Optimization Problems: Evaluation and Step-by-step Reasoning
di: Qian, Tianhao, et al.
Pubblicazione: (2026)

Solving Parallel Machine Scheduling With Precedences and Cumulative Resource Constraints With Calendars
di: Einspieler, Christoph, et al.
Pubblicazione: (2025)

Advancing Mathematical Research via Human-AI Interactive Theorem Proving
di: Li, Chenyi, et al.
Pubblicazione: (2025)

A Heuristic Alternating Direction Method of Multipliers Framework for Distributed and Centralized Tree-Constrained Optimization: Applications to Hop-Constrained Spanning Tree Multicommodity Flow Design
di: Mokhtari, Yacine
Pubblicazione: (2025)

Federated Learning on Riemannian Manifolds with Differential Privacy
di: Huang, Zhenwei, et al.
Pubblicazione: (2024)

Supplementary Materials to Graph Convolutional Branch and Bound
di: Sciandra, Lorenzo, et al.
Pubblicazione: (2024)

Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights
di: Yang, Xin-She
Pubblicazione: (2023)

Stable gradient-adjusted root mean square propagation on least squares problem
di: Li, Runze, et al.
Pubblicazione: (2024)

Learning from user's behaviour of some well-known congested traffic networks
di: Cardoso, Isolda, et al.
Pubblicazione: (2025)

Error Bounds for Rank-one Double Nonnegative Reformulations of QAP and Exact Penalties
di: Qian, Yitian, et al.
Pubblicazione: (2024)

Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms
di: Halffmann, Pascal, et al.
Pubblicazione: (2024)

Accelerating preconditioned ADMM via degenerate proximal point mappings
di: Sun, Defeng, et al.
Pubblicazione: (2024)

Stochastic versus Deterministic in Stochastic Gradient Descent
di: Li, Runze, et al.
Pubblicazione: (2025)

Quantum computing and the stable set problem
di: Krpan, Aljaž, et al.
Pubblicazione: (2024)

A Quantum Computing Approach for the Unit Commitment Problem
di: Halffmann, Pascal, et al.
Pubblicazione: (2022)

Quantum and Simulated Annealing-Based Iterative Algorithms for QUBO Relaxations of the Sparsest $k$-Subgraph Problem
di: Bihani, Omkar, et al.
Pubblicazione: (2025)

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem
di: Vodeb, Jaka, et al.
Pubblicazione: (2024)

The Complexity Landscape of Two-Stage Robust Selection Problems with Budgeted Uncertainty
di: Goerigk, Marc, et al.
Pubblicazione: (2026)

An Efficient Continuous-Time MILP for Integrated Aircraft Hangar Scheduling and Layout
di: Pazhooh, Shayan Farhang, et al.
Pubblicazione: (2025)

Pairwise independent correlation gap
di: Ramachandra, Arjun, et al.
Pubblicazione: (2022)

Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
di: Lara, Felipe, et al.
Pubblicazione: (2024)

Conductance Estimation in Digraphs: Submodular Transformation, Lovász Extension and Dinkelbach Iteration
di: Shao, Sihong, et al.
Pubblicazione: (2025)

Loss Minimization for Electrical Flows over Spanning Trees on Grids
di: Ito, Takehiro, et al.
Pubblicazione: (2024)

A Stability Principle for Learning under Non-Stationarity
di: Huang, Chengpiao, et al.
Pubblicazione: (2023)

Policy Optimization over General State and Action Spaces
di: Ju, Caleb, et al.
Pubblicazione: (2022)

Sharp higher order convergence rates for the Adam optimizer
di: Dereich, Steffen, et al.
Pubblicazione: (2025)

The Güler-type acceleration for proximal gradient, linearized augmented Lagrangian and linearized alternating direction method of multipliers
di: Zhou, Bin, et al.
Pubblicazione: (2025)

Dantzig-Wolfe and Arc-Flow Reformulations: A Systematic Comparison
di: Yamin, Daniel, et al.
Pubblicazione: (2026)

Reinforcement Learning for Search Tree Size Minimization in Constraint Programming: New Results on Scheduling Benchmarks
di: Heinz, Vilém, et al.
Pubblicazione: (2025)

SDP bounds on the stability number via ADMM and intermediate levels of the Lasserre hierarchy
di: Sinjorgo, Lennart, et al.
Pubblicazione: (2025)

Real-time solution of quadratic optimization problems with banded matrices and indicator variables
di: Gomez, Andres, et al.
Pubblicazione: (2024)

Practical Experience with Stable Set and Coloring Relaxations
di: Pucher, Dunja, et al.
Pubblicazione: (2024)

Speeding up the Goemans-Williamson randomized procedure by difference-of-convex optimization
di: Salloum, Hadi, et al.
Pubblicazione: (2025)

Data-Driven Hull-Fouling Cleaning Schedule Optimization to Reduce Carbon Footprint of Vessels
di: Ward, Samuel, et al.
Pubblicazione: (2026)

Evacuation Planning on Time-Expanded Networks with Integrated Wildfire Information
di: Borgwardt, Steffen, et al.
Pubblicazione: (2024)

Quadratic Unconstrained Binary Optimisation for Training and Regularisation of Binary Neural Networks
di: Villumsen, Jonas Christoffer, et al.
Pubblicazione: (2026)

Generalizations of Total Dual Integrality
di: Guenin, Bertrand, et al.
Pubblicazione: (2025)